Senior Cloud Software Engineer

Nvidia

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$152,000–$241,500 / yr
Posted
6 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $197k
$133k most similar roles pay here $253k

This role pays more than 55% of similar roles. Most pay $144,350–$226,000 — the shaded band above. At the midpoint, this role pays about $197k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Cloud Software Engineer

As a Senior Cloud Software Engineer, DGXC Data Services, you will join the team building cloud-native systems and frameworks for managing data across hybrid and multi-cloud infrastructure. You will develop scalable services and APIs to support exabyte-scale, high-performance GPU training and inference workflows, focusing on dataset discovery, ingestion, governance, checkpointing, observability, and low-latency access. The role requires collaborating with product, platform, and operations teams to build reliable production systems while utilizing modern software engineering practices like AI-assisted and agentic development workflows. You should possess a strong foundation in algorithms, data structures, and distributed systems. Required technical skills include experience with Kubernetes, cloud providers such as AWS, GCP, or Azure, and programming languages including Go, Python, Rust, C/C++, or Java to solve complex problems in storage and data management for large-scale AI workloads.

What you'll do

  • Build cloud-native data and storage services for hybrid and multi-cloud infrastructure.
  • Develop scalable APIs to support exabyte-scale GPU training and inference workflows.
  • Implement systems for dataset discovery, ingestion, governance, checkpointing, and low-latency access.
  • Translate product requirements from internal AI teams into reliable production systems.
  • Improve service reliability, performance, and observability in coordination with SRE and operations teams.
  • Apply modern software engineering practices including AI-assisted and agentic development workflows.
  • Design, test, and secure high-performance backend services using Kubernetes and major cloud providers.

What we're looking for

  • BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience.
  • 5+ years of software engineering experience.
  • Strong foundation in algorithms, data structures, distributed systems, and practical software design.
  • Experience building and operating backend or cloud-native services using Kubernetes and major cloud providers (AWS, GCP, or Azure).
  • Proficiency in programming languages such as Go, Python, Rust, C/C++, or Java.
  • Ability to design APIs, document systems, and communicate clearly while breaking down ambiguous problems.
  • Experience collaborating across engineering, product, platform, and operations teams to deliver production software.
  • Curiosity and practical judgment regarding AI-assisted and agentic engineering workflows.

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